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Proteomics has been little used for the identification of novel prognostic and/or therapeutic markers in isocitrate dehydrogenase (IDH)‐wildtype glioblastoma (GB). In this study, we analyzed 50 tumor and 30 serum samples from short‐ and long‐term survivors of IDH‐wildtype GB (STS and LTS, respectively) by data‐independent acquisition mass spectrometry (DIA‐MS)‐based proteomics, with the aim of identifying such markers. DIA‐MS identified 5422 and 826 normalized proteins in tumor and serum samples, respectively, with only three tumor proteins and 26 serum proteins displaying significant differential expression between the STS and LTS groups. These dysregulated proteins were principally associated with the detoxification of reactive oxygen species (ROS). In particular, GB patients in the STS group had high serum levels of malate dehydrogenase 1 (MDH1) and ribonuclease inhibitor 1 (RNH1) and low tumor levels of fatty acid‐binding protein 7 (FABP7), which may have enabled them to maintain low ROS levels, counteracting the effects of the first‐line treatment with radiotherapy plus concomitant and adjuvant temozolomide. A blood score built on the levels of MDH1 and RNH1 expression was found to be an independent prognostic factor for survival based on the serum proteome data for a cohort of 96 IDH‐wildtype GB patients. This study highlights the utility of circulating MDH1 and RNH1 biomarkers for determining the prognosis of patients with IDH‐wildtype GB. Furthermore, the pathways driven by these biomarkers, and the tumor FABP7 pathway, may constitute promising therapeutic targets for blocking ROS detoxification to overcome resistance to chemoradiotherapy in potential GB STS.
We used DIA‐MS‐based proteomics to detect changes in protein abundance in tumor and serum samples from short‐term (STS) and long‐term (LTS) glioblastoma survivors. The dysregulated proteins were principally associated with the detoxification of reactive oxygen species (ROS). High serum levels of MDH1 and RNH1 and low tumor levels of FABP7 may enable STS to maintain low ROS levels, counteracting the effects of chemoradiotherapy.

Molecular oncology, 2024-11, Vol.18 (11), p.2783-2800

Proteomics of tumor and serum samples from isocitrate dehydrogenase‐wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival?

Erb‐b2 receptor tyrosine kinase 2 (ERBB2)‐activating mutations are therapeutically actionable alterations found in various cancers, including metastatic breast cancer (MBC). We developed multiplex digital PCR assays to detect and quantify ERBB2 mutations in circulating tumor DNA from liquid biopsies. We studied the plasma from 272 patients with hormone‐receptor‐positive, human epidermal growth factor receptor 2‐negative (HR+/HER2−) MBC to detect 17 ERBB2 mutations using a screening assay. The assay was developed on the three‐color Crystal dPCR™ naica® platform with a two‐step strategy for precise mutation identification. We found that nine patients (3.3%) harbored at least one ERBB2 mutation. The mutation rate was higher in patients with lobular histology (5.9%) compared to invasive breast carcinoma of no special type (2.6%). A total of 12 mutations were found with the following frequencies: L755S (25.00%), V777L (25.00%), S310Y (16.67%), L869R (16.67%), S310F (8.33%), and D769H (8.33%). Matched tumor samples from six patients identified the same mutations with an 83% concordance rate. In summary, our highly sensitive multiplex digital PCR assays are well suited for plasma‐based monitoring of ERBB2 mutational status in patients with MBC.
Erb‐b2 receptor tyrosine kinase 2 (ERBB2)‐activating mutations are therapeutically actionable alterations found in various cancers, including metastatic breast cancer (MBC). We developed highly sensitive multiplex digital PCR assays to detect and quantify ERBB2 mutations in circulating tumor DNA from liquid biopsies and found mutations in 3.3% of 272 patients with hormone‐receptor‐positive, human epidermal growth factor receptor 2‐negative (HR+/HER2−) MBC.

Molecular oncology, 2024-11, Vol.18 (11), p.2714-2729

Plasma‐based analysis of ERBB2 mutational status by multiplex digital PCR in a large series of patients with metastatic breast cancer